Some plots are posted to the web for processing, but most plotting is now implemented in the client, and inside RStudio everything is done offline
head(diamonds) # example dataset
## # A tibble: 6 × 10
## carat cut color clarity depth table price x y z
## <dbl> <ord> <ord> <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
## 1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43
## 2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31
## 3 0.23 Good E VS1 56.9 65 327 4.05 4.07 2.31
## 4 0.29 Premium I VS2 62.4 58 334 4.20 4.23 2.63
## 5 0.31 Good J SI2 63.3 58 335 4.34 4.35 2.75
## 6 0.24 Very Good J VVS2 62.8 57 336 3.94 3.96 2.48
d <- diamonds[sample(nrow(diamonds), 1000), ]
plot_ly(d, x = ~carat, y = ~price)
d <- diamonds[sample(nrow(diamonds), 1000), ]
plot_ly(d,
x = ~carat,
y = ~price,
color = ~carat,
size = ~carat,
text = ~paste("Price: ", price, '$<br>Cut:', cut))
# Lots of information easily accessible, not overwhelming
plot_ly(diamonds, x = ~price, color = ~cut, type = "box")
p <- ggplot(data = d, aes(x = carat, y = price)) +
geom_point(aes(text = paste("Clarity:", clarity))) +
geom_smooth(aes(colour = cut, fill = cut)) + facet_wrap(~ cut)
ggplotly(p)
subplot(
plot_ly(diamonds, y = ~cut, color = ~clarity),
plot_ly(diamonds, x = ~cut, color = ~clarity),
margin = 0.05
) %>% hide_legend()
Or send discrete variables to both X and Y:
plot_ly(diamonds, x = ~cut, y = ~clarity)